Digital Commons Network^™

Optimal Operation Of An Islanded Hybrid Energy System Integrating Power And Gas Systems, Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

Remote communities and geographically isolated areas require a secure supply of energy. Isolated hybrid energy systems offer an effective and reliable solution for delivering power to these regions. However, shifting to renewable energy sources introduces uncertainty challenges for low-inertia stand-alone systems. In this paper, we propose a two-stage energy management strategy to address the uncertainties of wind generation and load consumption while minimizing operational expenses. Furthermore, the study explores the integration of multi-carrier energy networks, in this case electricity and gas, to enhance the reliability of hybrid energy systems. Two modeling methods are proposed to tackle the uncertainties. First, a …

Performance Measurement In A Custom Production Process Model Using The Process Mining Approach: A Systematic Literature Review, Wawa Wikusna, Mustafid, Ferry Jie

Research outputs 2022 to 2026

This study aims to explore and develop a method for measuring supply chain performance influenced by customer demand in custom product production. The research method used is a systematic literature review, focusing on measuring key indicators and evaluating supply chain performance. This study highlights the importance of Key Performance Indicators (KPIs) as an evaluation tool, which helps make decisions more effective and efficient in the supply chain. By using the Supply Chain Operation Reference (SCOR) model supported by the Analytic Hierarchy Process (AHP) and the normalization of the Snorm De Boer Score, this study shows a systematic measurement process from …

Spatially-Aware Speaker For Vision-And-Language Navigation Instruction Generation, Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter

Research outputs 2022 to 2026

Embodied AI aims to develop robots that can understand and execute human language instructions, as well as communicate in natural languages. On this front, we study the task of generating highly detailed navigational instructions for the embodied robots to follow. Although recent studies have demonstrated significant leaps in the generation of step-by-step instructions from sequences of images, the generated instructions lack variety in terms of their referral to objects and landmarks. Existing speaker models learn strategies to evade the evaluation metrics and obtain higher scores even for low-quality sentences. In this work, we propose SAS (Spatially-Aware Speaker), an instruction generator …

Characterizing The Extent And Nature Of Digital Food And Beverage Marketing In Singapore – A Descriptive Study, Xin Hui Chua, Clare Whitton, Stefanie Vandevijvere, Bridget Kelly, Rob M. Van Dam, Salome A. Rebello

Research outputs 2022 to 2026

Objective: To characterize the nature of digital food and beverage advertising in Singapore Setting: Food and beverage advertisements within 20 clicks on top 12 non-food websites and all posts on Facebook and Instagram pages of 15 major food companies in Singapore were sampled from January 1 to June 30, 2018. Design: Advertised foods were classified as being core (healthier), non-core or mixed-dishes (example burger) using the WHO nutrient profile model and national guidelines. Marketing techniques were assessed using published coding frameworks. Participants: NA Results: Advertisements (n=117) on the 12 non-food websites were largely presented as editorial content. Food companies posted …

A Regime Of Statutes: Building A Modern President In Gilded Age America (1873-1921), Andrea Scoseria Katz

Scholarship@WashULaw

At a time when the Supreme Court is turning its sights on the administrative state and enhancing the profile and powers of the president, it is worth recalling that behind our national complex of agencies lies a constitutional settlement that has structured government for approximately one hundred and thirty years. Its roots lie in the period from 1873-1921, and its defining values are interbranch cooperation, delegated problem-solving authority, and administrative expertise. This Article proposes to tell its story.

A century and a half ago, America was just healing from its Civil War wounds when a host of new problems descended: …

Less Discriminatory Algorithms, Pauline Kim, Emily Black, John Logan Koepke, Solon Barocas, Mingwei Hsu

Scholarship@WashULaw

Entities that use algorithmic systems in traditional civil rights domains like housing, employment, and credit should have a duty to search for and implement less discriminatory algorithms (LDAs). Why? Work in computer science has established that, contrary to conventional wisdom, for a given prediction problem there are almost always multiple possible models with equivalent performance—a phenomenon termed model multiplicity. Critically for our purposes, different models of equivalent performance can produce different predictions for the same individual, and, in aggregate, exhibit different levels of impacts across demographic groups. As a result, when an algorithmic system displays a disparate impact, model multiplicity …

Lawyering In The Age Of Artificial Intelligence, Jonathan H. Choi, Monahan Amy, Daniel Schwarcz

Scholarship@WashULaw

We conducted the first randomized controlled trial to study the effect of AI assistance on human legal analysis. We randomly assigned law school students to complete realistic legal tasks either with or without the assistance of GPT-4, tracking how long the students took on each task and blind-grading the results. We found that access to GPT-4 only slightly and inconsistently improved the quality of participants’ legal analysis but induced large and consistent increases in speed. AI assistance improved the quality of output unevenly—where it was useful at all, the lowest-skilled participants saw the largest improvements. On the other hand, AI …

Independence Through Judicialization: The Politics Surrounding Administrative Adjudicators 1929-1949, Lawrence J. Liu

Scholarship@WashULaw

One front in today’s battle to define the scope of the administrative state concerns the authority, status, and future of its 10,000-plus administrative adjudicators. Decisions by federal courts and the executive branch to increase the dependence of administrative adjudicators on the executive have sparked strong reactions from observers, with many advocating for measures to increase adjudicator “independence.” But who should administrative adjudicators be independent of, which ought to be independent, and why? Calls for administrative adjudicator independence are not new. This Article draws on primary documents produced by private actors, congressional decisionmakers, and federal executive agents to present a political …

A Proposed Technique Using Machine Learning For The Prediction Of Diabetes Disease Through A Mobile App, M. Samir Abou El-Seoud

Computer Science

With the increasing prevalence of diabetes in Saudi Arabia, there is a critical need for early detection and prediction of the disease to prevent long-term health complications. This study addresses this need by using machine learning (ML) techniques applied to the Pima Indians dataset and private diabetes datasets through the implementation of a computerized system for predicting diabetes. In contrast to prior research, this study employs a semi-supervised model combined with strong gradient boosting, effectively predicting diabetes-related features of the dataset. Additionally, researchers employ the SMOTE technique to deal with the problem of imbalanced classes. Ten ML classification techniques, including …

Redistributing Justice, Benjamin Levin, Kate Levine

Scholarship@WashULaw

This article surfaces an obstacle to decarceration hiding in plain sight: progressives’ continued support for the carceral system. Despite increasingly prevalent critiques of criminal law from progressives, there hardly is a consensus on the left in opposition to the carceral state. Many left-leaning academics and activists who may critique the criminal system writ large remain enthusiastic about criminal law in certain areas—often areas where defendants are imagined as powerful and victims as particularly vulnerable. In this article, we offer a novel theory for what animates the seemingly conflicted attitude among progressives toward criminal punishment—the hope that the criminal system can …

Against Engagement, Neil M. Richards, Woodrow Hartzog

Scholarship@WashULaw

In this Article, we focus on a key dimension of commercial surveillance by data-intensive digital platforms that is too often treated as a supporting cast member instead of a star of the show: the concept of engagement. Engagement is, simply put, a measure of time, attention, and other interactions with a service. The economic logic of engagement is simple: more engagement equals more ads watched equals more revenue. Engagement is a lucrative digital business model, but it is problematic in several ways that lurk beneath the happy sloganeering of a “free” internet.

Our goal in this Article is to isolate …

Antitrust, Amazon, And Algorithmic Auditing, Jens Frankenreiter, Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Stefan Bechtold, Krishna P. Gummadi

Scholarship@WashULaw

In digital markets, antitrust law and special regulations aim to ensure that markets remain competitive despite the dominating role that digital platforms play today in everyone's life. Unlike traditional markets, market participant behavior is easily observable in these markets. We present a series of empirical investigations into the extent to which Amazon engages in practices that are typically described as self-preferencing. We discuss how the computer science tools used in this paper can be used in a regulatory environment that is based on algorithmic auditing and requires regulating digital markets at scale.

Sticky Charters? The Surprisingly Tepid Embrace Of Officer-Protecting Waivers In Delaware, Jens Frankenreiter, Eric L. Talley

Scholarship@WashULaw

This article investigates the reaction to a much-heralded 2022 legal reform in Delaware that permitted a corporation’s charter to exculpate its officers from monetary exposure for breaching their fiduciary duty of care. To isolate reactions to this statutory reform, we make extensive use of generative AI tools to identify and interpret charter amendments that introduce officer-facing waivers. We find a surprisingly tepid rate of uptake among Delaware corporations through the end of the first post-reform year, notwithstanding widespread predictions that corporate entities would quickly storm the exculpation exits once permitted to do so.

Our study makes two contributions to the …

Sex & Startups, Jens Frankenreiter, Talia B. Gillis, Eric L. Talley

Scholarship@WashULaw

Venture capital is widely perceived to have a gender problem. Both founders seeking capital and the investors themselves are overwhelmingly male, fomenting concerns about how—and how fairly—the VC sector distributes its economic gains. Although gender disparities in funding are well documented, we still know little about whether the governance of VC-backed startups similarly manifests gender imbalances. This knowledge gap is critical, since VC investments often carry strings attached, in the form of cash flow and control rights that can vary substantially from deal to deal.

This study unveils a first-of-its-kind dataset that offers detailed insights into the governance of VC-backed …

The Use Of Variable Coil Pitch Of Helical Tube On The Hydro-Thermal Performance Improvement, Shayan Pourhemmati, Hussein A. Mohammed, Abdellah Shafieian

Research outputs 2022 to 2026

The use of helical tubes in heat transfer appliances is desirable due to their better heat transfer characteristics, but the higher pressure drop decreases the overall performance. The variation of pitch design of a helical tube is proposed to alleviate this situation so that the pitch number does not remain constant in the total tube length. A total of six variable pitch numbers with three different diameters are proposed and investigated on the thermal and fluid characteristics. To better understand the helical tube efficiency, PEC (performance evaluation criteria) is selected as a performance indicator in the present work and simulations …

Microbes Of Biotechnological Importance In Acidic Saline Lakes In The Yilgarn Craton, Western Australia, Katelyn Boase, Talitha Santini, Elizabeth Watkin

Research outputs 2022 to 2026

Acidic salt lakes are environments that harbor an array of biologically challenging conditions. Through 16S rRNA, 18S rRNA, and ITS amplicon sequencing of eight such lakes across the Yilgarn Craton of Western Australia, we aim to understand the microbial ecology of these lakes with a focus on iron- and sulfur-oxidizing and reducing microorganisms that have theoretical application in biomining industries. In spite of the biological challenges to life in these lakes, the microbial communities were highly diverse. Redundancy analysis of soil samples revealed sulfur, ammonium, organic carbon, and potassium were significant diversities of the microbial community composition. The most abundant …

Cellular Structure Mediated Dislocation Regulation In Additively Manufactured Refractory High Entropy Alloy, Changxi Liu, Lechun Xie, Lai-Chang Zhang, Liqiang Wang

Research outputs 2022 to 2026

A Ti1.5Nb1Ta0.5Zr1Mo0.5 (TNTZM) refractory high entropy alloy (HEA) with a cellular structure was successfully fabricated by laser powder bed fusion (L-PBF). Compression testing and cyclic deformation testing results revealed that, in the cellular structure, the cell walls could store dislocations. Furthermore, the local chemical order (LCO) plays a crucial role in controlling dislocations within the cell wall region. The LCO not only facilitates dislocation slip but also generates additional lattice distortion upon stress-induced LCO destruction to enable dislocation pinning. This work offers novel insights into the microstructure of additively manufactured refractory HEAs and uncovers a distinct dislocation regulation mechanism.

The Association Between Plasma Igg N-Glycosylation And Neonatal Hypoxic–Ischemic Encephalopathy: A Case-Control Study, Liangao Wang, Xinxia Lu, Meng Wang, Xuezhen Zhao, Peirui Li, Haitao Zhang, Qingtang Meng, Yujing Zhang, Yingjie Wang, Wei Wang, Long Ji, Haifeng Hou, Dong Li

Research outputs 2022 to 2026

Introduction: Hypoxic-ischemic encephalopathy (HIE) is one of severe neonatal brain injuries, resulting from inflammation and the immune response after perinatal hypoxia and ischemia. IgG N-glycosylation plays a crucial role in various inflammatory diseases through mediating the balance between anti-inflammatory and pro-inflammatory responses. This study aimed to explore the effect of IgG N-glycosylation on the development of HIE. Methods: This case-control study included 53 HIE patients and 57 control neonates. An ultrahigh-performance liquid chromatography (UPLC) method was used to determine the features of the plasma IgG N-glycans, by which 24 initial glycan peaks (GPs) were quantified. Multivariate logistic regression was used …

Blind Source Separation And Denoising Of Underwater Acoustic Signals, Ruba Zaheer, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi

Research outputs 2022 to 2026

Due to the addition of new underwater vessels and other natural noise contributors, the underwater environment is becoming congested and noisy. Undersea monitoring sonobuoys receive multiple mixed acoustic signals from different vessels that need to be separated and identified in the presence of underwater noise (UWN). It is extremely challenging to separate highly correlated acoustic signals from a noisy mixture without prior knowledge of mixing process and propagation channel. Also, in many cases, the separated signals from the noisy mixture doesn’t accurately describe the correct signal. This study proposes a novel multi-stage method to separate underwater acoustic source signals from …

Grain Boundary Engineering: An Emerging Pathway Toward Efficient Electrocatalysis, Xiaomin Xu, Yijun Zhong, Magdalena Wajrak, Tejas Bhatelia, San Ping Jiang, Zongping Shao

Research outputs 2022 to 2026

Electrochemical transformation processes involving carbon, hydrogen, oxygen, nitrogen, and small-molecule chemistries represent a promising means to store renewable energy sources in the form of chemical energy. However, their widespread deployment is hindered by a lack of efficient, selective, durable, and affordable electrocatalysts. Recently, grain boundary (GB) engineering as one category of defect engineering, has emerged as a viable and powerful pathway to achieve improved electrocatalytic performances. This review presents a timely and comprehensive overview of recent advances in GB engineering for efficient electrocatalysis. The beneficial effects of introducing GBs into electrocatalysts are discussed, followed by an overview of the synthesis …

Role Of Supply Chain Management In Improving Competitive Advantage Of Indonesian Small And Medium Enterprises, Hotlan Siagian, Sautma Ronni Basana, Zeplin Jiwa Husada Tarigan, Maya Novitasari, Ferry Jie

Research outputs 2022 to 2026

Global competition has forced companies, including small and medium enterprises (SMEs), to improve their competitive advantage. Supply chain management practices are the ways to improve the competitive advantage, particularly in the global competition context. However, there is still doubt SMEs can compete globally, considering they face limited resources, skilled workforce, and business networks. Therefore, this study aims to examine the influence of supply chain management practices, covering cross-functional integration, partnership, responsiveness, and resilience. Moreover, this study has examined which practices dominate in improving competitive advantage. The quantitative study involved 445 SMEs located in East Java, Indonesia. The respondents are supervisors …

Work-Integrated Learning In The Humanities, Arts And Social Sciences: Where To From Here?, Denise Jackson, Elizabeth Cook

Research outputs 2022 to 2026

Amidst increasing pressures on Humanities, Arts, and Social Sciences (HASS) disciplines regarding graduate career readiness, this study examines HASS student participation in work-integrated learning (WIL) and its impacts on employability and short-term employment outcomes, using data from the Australian Graduate Outcomes Survey from 2020 to 2023. The research examined the extent of participation across WIL types (work-based, non-workplace and global) and its influence on graduates’ perceived employability and employment outcomes (full-time employment and perceived overqualification), while investigating demographic differences using descriptive analysis and logistic regression models. Results indicated rising WIL participation yet identified disparities by activity type and among student …

Conceptualising Project Environmental Impact Assessment For Enhancement: No Net Loss, Net Gain, Offsetting And Nature Positive, Angus Morrison-Saunders, Luis Sánchez

Research outputs 2022 to 2026

With declining biodiversity worldwide, the need for development proposals to deliver positive, not negative, environmental outcomes is clear. Arguably, this is a long-standing goal of environmental impact assessment (EIA). This article explores the extent to which current project EIA practice can achieve enhancement, no net loss or a net gain of biodiversity and Nature Positive goals. Using reflexivity, a conceptual approach is applied to policies and examples from practice. The environmental enhancement goal of EIA is explained. The mitigation hierarchy is applied to a hypothetical mining example for accomplishing no net loss/net gain of biodiversity through offsets. Nature Positive is …

Genograms, Culture, Love And Sisterhood: A Conversation With Monica Mcgoldrick, Deisy Amorin-Woods

Research outputs 2022 to 2026

Monica McGoldrick stands as a towering figure in the field of family therapy. Initially earning a Masters in Russian Studies, she then pivoted to social work and systems thinking. McGoldrick's illustrious career has been marked by significant contributions to family therapy, particularly through her work with family genograms, mapping family relationships and histories to identify patterns across generations. She expanded the use of genograms to incorporate cultural, ethnic and gender contexts, revolutionising the field. Her work emphasises understanding individuals within their historical, social and cultural contexts. She has authored multiple seminal texts, including ‘Ethnicity and family therapy’, and Genograms: Assessment …

Gradient Microstructures And Mechanical Properties Of Ti–6al–4v Alloy Induced By Laser Surface Quenching, Enqing Wang, Jinpeng Tuo, Fengqi Hou, Dongjie Li, Yuanhang Li, Lvhao Zheng, Kai Zhang, Longlong Dong, Yi Yang, Hao Wang, Aijun Huang, Lai Chang Zhang

Research outputs 2022 to 2026

Laser surface quenching (LSQ) was employed to fabricate gradient microstructures in a Ti–6Al–4V alloy. The influence of the LSQ parameters on the surface morphology, the depth of the LSQ layer, gradient microstructure, and microhardness were investigated. The results showed that as the laser energy density increases, the surface roughness and thickness of the heat-affected zone (HAZ) increase. From the internal matrix to the surface, the microstructure in the HAZ changes from the equiaxed structure to the mixt structure, martensitic structure, Widmanstätten structure, and then the oxide layer. The size of the β grains gradually decreases as the distance from the …

Infrared Ship Segmentation Based On Weakly-Supervised And Semi-Supervised Learning, Isa Ali Ibrahim, Abdallah Namoun, Sami Ullah, Hisham Alasmary, Muhammad Waqas, Iftekhar Ahmad

Research outputs 2022 to 2026

Existing fully-supervised semantic segmentation methods have achieved good performance. However, they all rely on high-quality pixel-level labels. To minimize the annotation costs, weakly-supervised methods or semi-supervised methods are proposed. When such methods are applied to the infrared ship image segmentation, inaccurate object localization occurs, leading to poor segmentation results. In this paper, we propose an infrared ship segmentation (ISS) method based on weakly-supervised and semi-supervised learning, aiming to improve the performance of ISS by combining the advantages of two learning methods. It uses only image-level labels and a minimal number of pixel-level labels to segment different classes of infrared ships. …

Showcasing Leximancer In Tourism And Hospitality Research: A Review Of Leximancer-Based Research Published In Tourism And Hospitality Journals During 2014–2020, Edmund Goh, Violetta Wilk

Research outputs 2022 to 2026

This study showcases how the Leximancer program can be used to review Leximancer-based research published in tourism and hospitality journals during 2014-2020. Along with a Leximancer-generated concept map, a new tags' association visual analysis was also performed. This innovative method of analysis is a key contribution, as past Leximancer studies in hospitality and tourism have predominantly relied on thematic analysis only. An Insight Dashboard report that is based on Bayesian algebra algorithm in calculating Prominence Scores (PS) for key concepts and compound concepts emergent from the data, supplemented the visual analyses. Thirty-three (33) tourism and three (3) hospitality papers were …

Incorporating Evidence-Based Teaching Practices In A Civil/Environmental Engineering Course To Improve Learning, Julie Anne Wildschut

University Faculty Publications and Creative Works

The most important goal of teaching is student learning, passing on information from the instructor to the student so they can apply those concepts and skills months and years after instruction. However, this goal is not easily accomplished. Thinking and learning take significant effort and students often resist putting in the required work. Additionally, the increasingly diverse student population and recent disruptions to traditional classroom learning require instructional design to meet learning outcomes. Three evidence-based teaching practices including retrieval practice, spaced (distributed) practice, and interleaving were incorporated into a hydraulics course to improve student learning and evaluated for their effectiveness. …

Umm Al-Jimāl Site Management Plan, Dr. Elizabeth Osinga, Mrs. Jenna De Vries Morton

University Faculty Publications and Creative Works

Umm Al-Jimāl is an archaeologist’s dream. Jagged black basalt ruins rise above the skyline. Over 170 buildings in various states of repair grouped into neighborhoods. A tower encircled by inscriptions, an entry gate, several architecturally classic churches. Inscriptions with names and dates beginning in the Nabataean period and continuing through the Early Islamic—there are even modern names carved into some of the lintels, representing the last local community who lived in the ruins in the 21st century. The site presents the tangible remains of the many generations who lived through centuries of differing imperial rule, religious change, and socio-economic shifts. …

Environmental Filtering In The Anthropocene: Investigating Community Assembly Processes At Multiple Scales, Charlotte Clubley

School of Biological and Marine Sciences Theses

Environmental change in the Anthropocene is driving the redistribution of species and restructuring of communities globally. In marine systems, anthropogenic impacts, including the deliberate and accidental movement of species (i.e., non-native and invasive species) and construction of artificial structures (i.e., ocean sprawl), are creating novel opportunities for range expansion, altering the abiotic environment and causing global biodiversity loss. As the geographic distribution and community assembly of species depends on dispersal ability, abiotic tolerance and interactions with other species, understanding the effects that anthropogenic impacts will have on these processes is critical to predicting how ecosystem structure and function is likely …